Were looking for a hands-on Engineering Team Lead to join our Studio Team within the Platform Unit.
This role combines people leadership, senior-level engineering across backend and frontend domains, and platform-oriented thinking, and plays a key part in building and scaling Bobs next-generation extensibility and AI-powered experience layer.
As a Team Lead in the Studio team, you will lead a team of engineers while remaining actively involved in designing and implementing scalable systems that enable applications, widgets, workflows, and AI-driven experiences across the platform.
If youre passionate about leading people, shaping technical direction, and staying hands-on while building zero-to-one platform capabilities and AI-native experiences - this role is for you.
Why Join the Studio Team?
Lead a team at the core of Bobs platform extensibility and future interaction model.
Influence both user-facing experiences (applications, widgets, workflows) and the underlying platform and developer foundations.
Work in a highly collaborative environment with strong Product, Platform, AI, and Design partners.
Make a real impact at scale while growing as a technical and people leader.
What Youll Do
Technical Leadership & Hands-on Development
Lead the design, development, and operation of platform services and frameworks that power applications, widgets, workflows, and AI-driven experiences.
Take ownership of end-to-end delivery - from discovery and architecture through implementation, testing, deployment, and monitoring.
Address scalability, performance, and reliability challenges in systems enabling real-time, interactive, and AI-powered user experiences.
Work closely with Platform, AI, Data, DevOps, Product, and Design teams to ensure seamless integration of Studio capabilities into the broader platform.
Drive high engineering standards through code reviews, architecture discussions, testing practices, and automation.
Team Leadership & Growth
Lead, mentor, and grow a team of engineers within the Studio team.
Own hiring, onboarding, coaching, and professional development of team members.
Foster a culture of ownership, collaboration, learning, and innovation.
Support engineers in growing their scope and taking end-to-end responsibility.
Platform & Developer Experience
Contribute to and evolve Studio platform capabilities, including frameworks, SDKs, and tooling for building applications and workflows.
Improve developer and builder experience by enhancing extensibility, observability, CI/CD flows, and internal frameworks.
Enable and shape GenAI-powered experiences, including conversational interfaces, dynamic UI generation (GenUI), and data-driven workflows.
Collaborate with Architects and Platform leadership to align Studio with long-term platform.

As a Machine Learning Engineering Manager, you will lead a team focused on the foundational ML & Data layers to power the ranking & recommendation systems in scope. You will drive the development of robust data & ML pipelines at scale, lead the implementation of the tools for ML scientists to test and productionize advanced ML RecSys solutions.

As a technical manager of Machine Learning Engineers and Data engineers, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.

Key Job Responsibilities and Duties:

Lead and develop a high-performing team, fostering individual growth and collaboration.

Manage and mentor ML engineers and Data engineers, ensuring their professional development and effectiveness.

Develop scalable ML infrastructure and pipelines for efficient data processing and evaluations deployment.

Evaluate architecture solutions based on cost, business needs, and emerging technologies.

Collaborate closely with software engineers to ensure seamless deployment and model inference.

Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.

Collaborate with stakeholders to translate business requirements into viable ML solutions.

Evaluate and integrate new ML technologies to enhance productivity and performance.

Job ID: 20153.